
Experimental Parameter Tuning of Artificial Neural Network in Customer Churn Prediction
Author(s) -
Martin Fridrich
Publication year - 2017
Publication title -
trendy ekonomiky a managementu/trends economics and management
Language(s) - English
Resource type - Journals
eISSN - 2336-6508
pISSN - 1802-8527
DOI - 10.13164/trends.2017.28.9
Subject(s) - computer science , hyperparameter , machine learning , artificial neural network , artificial intelligence , context (archaeology) , set (abstract data type) , data mining , paleontology , biology , programming language